Performance validation of the GHGSat Methane Constellation via 20 controlled releases

Strategic design of methane observation networks to improve emission estimates: A case study in Africa

Abstract. Ground-based and satellite atmospheric observations are essential for reducing uncertainties in methane (CH4) emissions by atmospheric inversion, particularly in data-sparse regions such as Africa. However, adding new observation sites does not yield linear improvements of emission uncertainties because overl...

Performance Assessment of the Earthview BluBird Continuous Emission Monitoring System for Oil and Gas Facility Emissions Monitoring

The Earthview BluBird continuous methane emissions monitoring system participated in single-blind controlled-release testing in 2022 and 2024, with the goal of evaluating the leak detection and quantification capabilities of these metal-oxide point sensors under realistic field conditions. The METEC ADED test program c...

Remote sensing of ammonia point sources at high spatial resolution 1 with satellite-based imaging spectrometers

Quantifying methane emission of point-sources by integrating Aircore and DIAL-LiDAR measurements

Accurately quantifying methane (CH 4 ) emissions from intense point sources at fine spatial and temporal scales remains a significant challenge for current monitoring techniques. In this study, we present an integrated methodology that combines UAV-based AirCore sampling with ground-based methane differential abs...

Paving the Way for Uncertainty-Aware Forestry Products Using TanDEM-X and AI

A novel Bayesian DL framework for the uncertainty-aware estimation of forest height from single-pass TanDEM-X InSAR data, marking its first application to synthetic aperture radar interferometry and paving the way for real-world prediction of uncertainty-aware forest canopy height products from InSAR data.

Methane Detection On Board Satellites from Unorthorectified Imagery

This work introduces UnorthoDOS, a dataset and approach for training machine learning models directly on unorthorectified hyperspectral imagery, bypassing both orthorectification and matched-filter products, and demonstrates the feasibility of onboard deployment.